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# Databricks Data Engineer

- **Company:** Ultra Tendency
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Microsoft Azure, Cloud Computing, Computer Programming, Information Engineering, Data Systems, Distributed Systems, Github, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, Data Streaming, Workflow Management Systems, Data Processing, Apache Spark, Data Lakes, Pyspark, Machine Learning Operations, Terraform, Data Pipelines, Databricks
- **Published:** July 21, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

Deep hands-on experience with Databricks on Azure, AWS, or GCP, including Spark (PySpark/Scala), Delta Lake, and MLflow.
Strong programming skills in Python or Scala, and experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps).
Solid understanding of distributed computing, data modeling, and performance tuning in cloud-native environments.
Familiarity with orchestration tools (e.g., Databricks Workflows, Airflow) and infrastructure-as-code (e.g., Terraform).
A proactive mindset, strong communication skills, and a passion for building scalable, reliable data systems.
Professional communications skills in English
Did we pique your interest, or do you have any questions?

## Description

As Senior Databricks Data Engineer, you design and optimize data processing algorithms on a talented, cross-functional team. You are familiar with the Apache open-source suite of technologies and want to contribute to the advancement of data engineering.
WHAT WE OFFER
A chance to accelerate your career and work with outstanding colleagues in a supportive learning community split across 3 continents
Contribute your ideas to our unique projects and make an impact by turning them into reality
Balance your work and personal life through our workflow organization and decide yourself if you work at home, in the office, or on a hybrid setup
Annual performance review, and regular feedback cycles, generating distinct value by connecting colleagues through networks rather than hierarchies
Individual development plan, professional development opportunities
Educational resources such as paid certifications, unlimited access to Udemy Business, etc.
Local, virtual, and global team events, in which UT colleagues become acquainted with one another
WHAT YOU'LL DO
Design, implement, and maintain scalable data pipelines using Databricks Lakehouse Platform, with a strong focus on Apache Spark, Delta Lake, and Unity Catalog.
Lead the development of batch and streaming data workflows that power analytics, machine learning, and business intelligence use cases.
Collaborate with data scientists, architects, and business stakeholders to translate complex data requirements into robust, production-grade solutions.
Optimize performance and cost-efficiency of Databricks clusters and jobs, leveraging tools like Photon, Auto Loader, and Job Workflows.
Establish and enforce best practices for data quality, governance, and security within the Databricks environment.
Mentor junior engineers and contribute to the evolution of the team's Databricks expertise.


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